Hi,
Morton Swimmer suggested that there might be broader interest to talk
a bit about RDF extracted from tweets, so here we go:
There are multiple tools and services that convert twitter profiles
and contacts to RDF (e.g semantictweet[1] or knowee), I think they all
mostly re-use stuff from FOAF and don't really need new terms.
But there are also tools that convert individual tweets to RDF
(I think Tom Morris had code. smesher is another example), or the
other way round (e.g. SMOB). Streams can nicely be grounded in RSS,
possibly with an additional sioc:MicroblogPost type, but what about
the semi-structured data? Should we try to create a shared vocab for
such in-tweet data (recipient, mentioned people, author-avatar/profile,
tags, machine tags, short urls, expanded urls, re-tweets, vias,
embedded Linked Data URIs, groups, DM, ...)?
I've been playing a bit with in-tweet structures[2] a while ago, but
so far mainly made up app-specific terms. For a new project, I'm
extracting ratings and moods (via evolving patterns similar to
nanoformats [3], twitterdata[4], or simple word lists). I'm again
making up one-off terms here, too, and could surely benefit from a
more stable vocab.
Anyone interested in exploring this a little further? VoCamp near
DÃ¼sseldorf or Amsterdam, maybe? ;)
Cheers,
Benji
[1] http://semantictweet.com/
[2] http://www.smesher.org/media/2009/02/13/SMR_RDFExtractor.phps
[3] http://microformats.org/wiki/microblogging-nanoformats
[4] http://twitterdata.org/
--
Benjamin Nowack
http://bnode.org/http://semsol.com/